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Artificial Intelligence and its Application in Healthcare Systems

In the current age of contemporary medicine, the healthcare sector has advanced significantly thanks to artificial intelligence (Al) and data science, as well as sophisticated devices and high-end computers. Such AI-assisted health assistance can offer an appraisal of a patient’s status, as well as assist clinicians in making key treatment decisions.

As new unique software technologies arise regularly, the FDA has set a goal to implement more stringent regulatory control for these rapidly evolving goods, in order to assure patient safety. Artificial intelligence refers to items that have specific software programs or algorithms that can assess and adapt to new data continually. All are referred to as AI because the technology of the software and the algorithms is very intelligent. It could be determined by how the software is programmed in terms of its ability to analyze statistical data, relying on expert systems that rely on decision trees, their statements and other machine learning techniques. AI algorithms, in essence, are software that learn from fresh data and then act on it. Locked algorithms yield the same result every time the same input is supplied, and they apply the fix function, so some of the examples or techniques have a decision tree or a complex classifier, and those are applied to a given set of inputs. An adjustable algorithm adapts over time in response to new information or data.

The algorithms learn how to change their behavior by adding new input types or new cases to an existing database, and then the new version of the algorithm is deployed in the second phase of the update. Medical device software can be expanded using AI, and machine learning technologies again have real-time ability to adapt. Based on real-world feedback, they can improve device performance. When AI- and ML-based programs are incorporated to start treatment, they are then designated as a medical device software.

1.1. History of healthcare system

Modern medicine, or medicine, started to emerge after the Industrial Revolution in the 18th century. Hippocrates is a historical person in medicine. It is closely associated with him and his disciples. History demonstrates how civilizations’ attitudes towards sickness have evolved from the prehistoric generation to the recent generation. Babylonian, Chinese, Egyptian and Indian medical traditions are among the earliest.

The microscope was invented as a result of increased understanding during the Renaissance. Humorism was supposed to explain the etiology of disease before the 19th century, but it was progressively supplanted by the germ hypothesis of disease, which led to efficient treatments and even cures for many infectious diseases. Military medics revolutionized trauma care and surgical techniques. The fast rise of cities necessitated the development of public health measures, particularly in the 19th century. Advanced research facilities first appeared in the early 20th century, generally in conjunction with prominent hospitals. Antibiotics were among the novel biological medicines that emerged in the mid-20th century. These advances, together with advances in chemistry, genetics and radiography, resulted in modern medicine. Medicine was significantly professionalized in the 20th century, and new occupations as nurses and physicians opened up for women. One of the first Indian writings dealing with medicine is the Atharvaveda, a sacred Hindu literature originating from the Early Iron Age. The Atharvaveda also has herbal treatments for a variety of diseases. Herbs used to heal diseases would subsequently become an important aspect of Ayurveda. Ayurveda, which means “full wisdom for long life”, is another Indian medicinal system. Its two most renowned books are from the Charaka and Sushruta schools of thought. Ayurveda’s early roots were constructed on a combination of ancient herbal techniques and a substantial addition of theoretical conceptualizations.

As an alternative form of medicine in India, Unani medicine found deep roots and royal patronage during medieval times. It progressed during the Indian Sultanate and Mughal periods. Unani medicine is very close to Ayurveda. Both are based on the theory of the presence of the elements (in Unani, they are considered to be fire, water, earth and air) in the human body. According to the followers of Unani medicine, these elements are present in different fluids, and their balance leads to health and their imbalance leads to illness.

1.2. Literature studies

Gillies et al. (2016) use AI technology to interpret clinical pictures that include massive amounts of data.

You et al.’s (2018) team investigated how aberrant genetic transcription in lengthy RNAs without coding can be used to identify stomach cancer.

Shin et al. (2010) created an electronic diagnosis optimization approach to locate neurological damage.

Karakülah et al. (2014) used AI technology to identify phenotype information from clinical studies in order to improve the precision of genetic anomaly detection.

Based on a “double-blind validation study”, IBM Watson is a trustworthy AI system for supporting cancer detection (Somashekhar et al. 2017).

The benefits of AI have been thoroughly researched in the above literature (Shin et al. 2010; Karakülah et al. 2014; Gillies et al. 2016; Somashekhar et al. 2017; You et al. 2018). AI can use complex algorithms to read features from massive amounts of healthcare data and then use the results to improve clinical practice. It can also be outfitted with self-learning and correcting capabilities to increase its precision in response to input.

1.3. Evolution of AI

Computers are machines that operate based on the input they receive. They are unable to think by themselves or use reasoning. Computers operate entirely on the information given by humans. However, there has been a persistent push in the recent age to instill human intelligence into computers and make them think. This gave rise to the artificial intelligence (AI) field. Machine learning is the foundation of our project. But first, let us take a look at AI. AI is a catch-all phrase for any software program that allows a machine to think like a person. AI is any software that causes the computer to learn from the data presented or update itself with its numerous inputs in the same way that people do. AI is a broad phrase that encompasses several topics, including ML, neural networks and deep learning. Alexa and Siri are two current and immediately relevant instances of AI. The first artificial neurons, developed by McCulloch and Pitts in 1943, marked the beginning of AI (French et al. 1973). Donald Hebb (Munakata and Pfaffly 2004) first presented Hebbian learning in 1949. This notion is about the strength of the connections between neurons. In 1955, two men named Allen Newell and Herbert A. Simon created the first AI software, “Logic Theorist,” which proved 38 of 52 mathematical programs supplied to it. John McCarthy developed the term artificial intelligence at the Dartmouth Conference in 1956. McCarthy is also recognized as the “Father of Artificial Intelligence”. AI made a great jump in the beginning, but a few years of AI winter followed. Winter in this context refers to a period when scientists working on AI faced a massive backlog of work owing to a lack of funding. When world chess champion Gary Kasparov lost a chess championship to IBM Deep Blue in 1997, the golden age of AI began (Newborn 2000). In 2002, the “ROOMBA”, an AI-enabled vacuum cleaner, was released for home usage (Jones 2006). By 2006, AI had become a key aspect of Facebook, Twitter and Netflix. More examples include IBM Watson (Strickland 2019), the Android app Google Now (Zhong et al. 2014) and others. Python, Tensor Flow, Java and C are examples of AI programming languages.

1.3.1. Advantages and disadvantages

1.3.1.1. Advantages

1. With the assistance of AI, the likelihood of human mistakes is greatly reduced.
2. AI is a far greater risk taker when it comes to experiments or expeditions where human life could be jeopardized, such as defusing a bomb, carrying out any space voyage or experiment, etc.
3. AI can do repetitive tasks such as sending reminder emails, thank you emails, verifying documents and classifying emails as spam or starred. In a word, it can perform any unusual work that humans may lose interest in.
4. AI can work indefinitely without taking breaks or vacations, unlike humans.
5. AI allows certain commonplace apps, such as OK GOOGLE, SIRI and CORTANA, to mention a few.
6. AI makes decisions at a far faster rate than humans.
7. With the aid of AI, the medical industry has evolved considerably, since it is now feasible to diagnose and cure life-threatening disorders.

1.3.1.2. Disadvantages

1. The assistance of AI in healthcare systems reduces the human factor, which is a key part of the healthcare sector, especially in medical surgery.
2. Because AI works better and more quickly than humans, it has increased unemployment.
3. AI has turned out to be rather expensive since constant advances necessitate changes in hardware and circuits. Frequent changes entitle us to a large sum of money.
4. Machines, unlike humans, cannot think for themselves and are completely...